The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Adipose Tissue Quantification by Imaging Methods: A Proposed Classification
Open accessAbstract
Recent advances in imaging techniques and understanding of differences in the molecular biology of adipose tissue has rendered classical anatomy obsolete, requiring a new classification of the topography of adipose tissue. Adipose tissue is one of the largest body compartments, yet a classification that defines specific adipose tissue depots based on their anatomic location and related functions is lacking. The absence of an accepted taxonomy poses problems for investigators studying adipose tissue topography and its functional correlates. The aim of this review was to critically examine the literature on imaging of whole body and regional adipose tissue and to create the first systematic classification of adipose tissue topography. Adipose tissue terminology was examined in over 100 original publications. Our analysis revealed inconsistencies in the use of specific definitions, especially for the compartment termed “visceral” adipose tissue. This analysis leads us to propose an updated classification of total body and regional adipose tissue, providing a well‐defined basis for correlating imaging studies of specific adipose tissue depots with molecular processes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome
Wajchenberg, B. L. (2000) · Endocrine Reviews · doi:10.1210/edrv.21.6.0415 · Cited by 2,961
Mitsiopoulos, N., Baumgartner, R. N., Heymsfield, S. B., Lyons, W., Gallagher, D., & Ross, R. (1998) · Journal of Applied Physiology · doi:10.1152/jappl.1998.85.1.115 · Cited by 1,522
Self-citationSubdivisions of subcutaneous abdominal adipose tissue and insulin resistance
Kelley, D. E., Thaete, F. L., Troost, F., Huwe, T., & Goodpaster, B. H. (2000) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.2000.278.5.e941 · Cited by 538
Kyle, U., Genton, L., Hans, D., Karsegard, L., Slosman, D., & Pichard, C. (2001) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601198 · Cited by 442
Seidell, J., Bakker, C., & van der Kooy, K. (1990) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/51.6.953 · Cited by 375
Mourier, A., Gautier, J.-F., Kerviler, E. D., Bigard, A. X., Villette, J.-M., Garnier, J.-P., Duvallet, A., Guezennec, C. Y., & Cathelineau, G. (1997) · Diabetes Care · doi:10.2337/diacare.20.3.385 · Cited by 361
Skeletal muscle utilization of free fatty acids in women with visceral obesity.
Colberg, S. R., Simoneau, J. A., Thaete, F. L., & Kelley, D. E. (1995) · Journal of Clinical Investigation · doi:10.1172/jci117864 · Cited by 320
Abdominal Obesity and the Metabolic Syndrome
Björntorp, P. (1992) · Annals of Medicine · doi:10.3109/07853899209166997 · Cited by 233
Mourier, A., Bigard, A., Kerviler, E. D., Roger, B., Legrand, H., & Guezennec, C. (1997) · International Journal of Sports Medicine · doi:10.1055/s-2007-972594 · Cited by 101
Kamel, E., McNeill, G., & Van Wijk, M. (2000) · International Journal of Obesity · doi:10.1038/sj.ijo.0801204 · Cited by 77
Cited by
Pathophysiology of human visceral obesity: an update
Tchernof, A., & Després, J.-P. (2013) · Physiological Reviews · doi:10.1152/physrev.00033.2011 · Cited by 2,583
Mechanisms, Pathophysiology, and Management of Obesity
Heymsfield, S. B., & Wadden, T. A. (2017) · New England Journal of Medicine · doi:10.1056/nejmra1514009 · Cited by 1,867
Self-citationAdipose tissue dysfunction as determinant of obesity-associated metabolic complications
Longo, M., Zatterale, F., Naderi, J., Parrillo, L., Formisano, P., Raciti, G. A., Beguinot, F., & Miele, C. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20092358 · Cited by 1,575
Gender differences in insulin resistance, body composition, and energy balance
Geer, E. B., & Shen, W. (2009) · Gender Medicine · doi:10.1016/j.genm.2009.02.002 · Cited by 913
Self-citationIacobellis, G., Ribaudo, M. C., Assael, F., Vecci, E., Tiberti, C., Zappaterreno, A., Di Mario, U., & Leonetti, F. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-030698 · Cited by 842
Metadata
- Authors
- Shen, W., Wang, Z., Punyanita, M., Lei, J., Sinav, A., Kral, J. G., Imielinska, C., Ross, R., & Heymsfield, S. B.
- Venue
- Obesity Research
- Publisher
- Wiley
- Published
- 2003-01
- Volume
- 11
- Issue
- 1
- Pages
- 5-16
- ISSN
- 1071-7323 (ISSN-L)
- 1550-8528
- OpenAlex
- W2164541735
- Cited by
- 509
- References
- 10
- FWCI
- 6.88
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
